Data-Engineering-All

Intellipaat https://www.youtube.com/watch?v=xS82xt6wvzw What is Azure Synapse ? Azure Synapse is a cloud-based analytics service provided by Microsoft Azure. Formerly known as Azure SQL Data Warehouse, Azure Synapse Analytics is designed to analyze large volumes of data and provide insights for business intelligence and data-driven decision-making. Key features of Azure Synapse include: Data Warehousing: Azure Synapse allows you to store and manage large volumes of structured and semi-structured data in a scalable and distributed manner. It provides a data warehouse solution that can handle both relational and non-relational data. Big Data Analytics: The service enables you to analyze both relational and non-relational data, making it suitable for big data scenarios. You can run complex queries across diverse data sources. Data Integration: Azure Synapse supports data integration from various sources, including on-premises databases, cloud storage, and other Azure services. This allows...

  As a Data Engineer, you'll be responsible for designing, developing, and managing the data architecture, infrastructure, and tools necessary for collecting, storing, processing, and analyzing large volumes of data. Here are some key skills you should have as a Data Engineer: Programming Languages: SQL: Proficient in writing complex SQL queries for data retrieval and manipulation. Python/Java/Scala: Ability to code in one or more programming languages for data processing, automation, and building data pipelines. Data Modeling: Understanding of data modeling concepts and experience with relational database design. Familiarity with both normalized and denormalized data models. Database Management Systems (DBMS): Experience with relational databases (e.g., MySQL, PostgreSQL, Oracle) and understanding of their performance optimization. Knowledge of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured or semi-structured data. Big Data Technologies: Familiarity with bi...